J. DeVos

456 total citations
11 papers, 364 citations indexed

About

J. DeVos is a scholar working on Transplantation, Nephrology and Surgery. According to data from OpenAlex, J. DeVos has authored 11 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Transplantation, 5 papers in Nephrology and 3 papers in Surgery. Recurrent topics in J. DeVos's work include Renal Transplantation Outcomes and Treatments (7 papers), Renal Diseases and Glomerulopathies (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). J. DeVos is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Renal Diseases and Glomerulopathies (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). J. DeVos collaborates with scholars based in United States and China. J. DeVos's co-authors include A. Osama Gaber, Richard J. Knight, Lillian W. Gaber, Geoffrey A. Land, Samir J. Patel, Wadi N. Suki, Samir J. Patel, Linda W. Moore, Edward A. Graviss and Larry D. Teeter and has published in prestigious journals such as Kidney International, Transplantation and Clinical Transplantation.

In The Last Decade

J. DeVos

10 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. DeVos United States 8 277 160 93 84 71 11 364
Annelies E. de Weerd Netherlands 9 221 0.8× 110 0.7× 83 0.9× 47 0.6× 41 0.6× 27 315
Caroline Wehmeier Switzerland 13 349 1.3× 175 1.1× 110 1.2× 49 0.6× 73 1.0× 31 455
Rafael Reyes‐Acevedo Mexico 8 309 1.1× 146 0.9× 62 0.7× 32 0.4× 102 1.4× 19 444
Robert Naraghi United States 7 220 0.8× 105 0.7× 90 1.0× 17 0.2× 28 0.4× 14 330
Virginia Cabello Spain 11 184 0.7× 61 0.4× 35 0.4× 104 1.2× 74 1.0× 17 355
A Lo United States 11 194 0.7× 179 1.1× 83 0.9× 12 0.1× 25 0.4× 35 366
Parmjeet Randhawa United States 7 209 0.8× 122 0.8× 241 2.6× 52 0.6× 15 0.2× 9 449
Carlos Benavides Chile 8 131 0.5× 241 1.5× 90 1.0× 17 0.2× 16 0.2× 28 373
M. Harler United States 5 454 1.6× 253 1.6× 74 0.8× 31 0.4× 140 2.0× 13 610
Chatchai Kreepala Thailand 7 321 1.2× 228 1.4× 20 0.2× 135 1.6× 73 1.0× 15 460

Countries citing papers authored by J. DeVos

Since Specialization
Citations

This map shows the geographic impact of J. DeVos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. DeVos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. DeVos more than expected).

Fields of papers citing papers by J. DeVos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. DeVos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. DeVos. The network helps show where J. DeVos may publish in the future.

Co-authorship network of co-authors of J. DeVos

This figure shows the co-authorship network connecting the top 25 collaborators of J. DeVos. A scholar is included among the top collaborators of J. DeVos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. DeVos. J. DeVos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Sinha, Neeraj, J. DeVos, Thomas Kaleekal, et al.. (2017). Early clearance vs persistence of de novo donor‐specific antibodies following lung transplantation. Clinical Transplantation. 31(8). 21 indexed citations
2.
Knight, Richard J., Larry D. Teeter, Edward A. Graviss, et al.. (2014). Barriers to Preemptive Renal Transplantation. Transplantation. 99(3). 576–579. 19 indexed citations
3.
DeVos, J., A. Osama Gaber, Samir J. Patel, et al.. (2014). Treatment of De Novo Donor Specific Antibodies After Renal Transplant With IVIG.. Transplantation. 98. 138–138. 1 indexed citations
4.
Patel, Samir J., et al.. (2014). Observations on the use of cidofovir for BK virus infection in renal transplantation. Transplant Infectious Disease. 16(6). 975–983. 34 indexed citations
5.
Patel, Samir J., J. DeVos, Richard J. Knight, et al.. (2013). Effects of Rituximab on the Development of Viral and Fungal Infections in Renal Transplant Recipients. 2013. 1–8. 9 indexed citations
6.
Knight, Richard J., Lillian W. Gaber, Samir J. Patel, et al.. (2013). Screening for BK Viremia Reduces But Does Not Eliminate the Risk of BK Nephropathy. Transplantation. 95(7). 949–954. 35 indexed citations
7.
DeVos, J., A. Osama Gaber, Larry D. Teeter, et al.. (2013). Intermediate-Term Graft Loss After Renal Transplantation is Associated With Both Donor-Specific Antibody and Acute Rejection. Transplantation. 97(5). 534–540. 60 indexed citations
8.
Knight, Richard J., J. DeVos, Samir J. Patel, et al.. (2013). Outcomes of Living Donor Renal Transplants With a Negative Cross-Match and Pretransplant Donor-Specific Antibody. Transplantation Proceedings. 45(4). 1399–1401. 3 indexed citations
9.
DeVos, J., A. Osama Gaber, Richard J. Knight, et al.. (2012). Donor-specific HLA-DQ antibodies may contribute to poor graft outcome after renal transplantation. Kidney International. 82(5). 598–604. 158 indexed citations
10.
DeVos, J., Kevin Burns, Smaroula Dilioglou, et al.. (2011). De novo donor specific antibodies and patient outcomes in renal transplantation.. PubMed. 351–8. 23 indexed citations
11.
DeVos, J., et al.. (1953). [First results with a new anti-epileptic drug].. PubMed. 53(10). 628–38. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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